SVM Feature Selection Based Rotation Forest Ensemble Classifiers to Improve Computer-Aided Diagnosis of Parkinson Disease.
Akin ÖzçiftPublished in: J. Medical Syst. (2012)
Keyphrases
- ensemble classifier
- rotation forest
- computer aided diagnosis
- feature selection
- random forest
- ensemble methods
- support vector machine
- ensemble learning
- computer aided
- medical images
- concept drift
- classification models
- fusion method
- image analysis
- feature set
- base classifiers
- support vector
- breast cancer
- text classification
- generalization ability
- prediction accuracy
- data sets
- support vector machine svm
- text categorization
- dimensionality reduction
- multi class
- feature space
- pattern recognition
- decision trees
- neural network
- information fusion
- benchmark datasets
- subspace methods